---
title: "Who cites A Semi-Supervised Method to — 55 citing papers"
description: "55 papers of the Elamur Research library cite «A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web», found in…"
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---
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# Who cites «A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web»

55 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web»](https://md.research.elamur.ai/free/en/papers/kozareva-2010-semi-supervised-method-learn-construct/)

1. **[Improving Hypernymy Detection with an Integrated Path-based and Distributional Method](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*
2. **[OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction](https://md.research.elamur.ai/free/en/papers/velardi-2013-ontolearn-reloaded-graph-based-algorithm/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Paola Velardi, Stefano Faralli, Roberto Navigli*2013 · 258 citations*
3. [**A Graph-Based Algorithm for Inducing Lexical Taxonomies from Scratch IJCAI-11**Roberto Navigli, Paola Velardi, Stefano Faralli*2011 · 174 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2011-graph-based-algorithm-inducing-lexical/)
4. [**Taxonomy Tree Generation from Citation Graph arXiv:2410.03761**Yuntong Hu, Zhuofeng Li, Zheng Zhang, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-taxonomy-tree-generation-citation-graph/)
5. **[Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings](https://md.research.elamur.ai/free/en/papers/meisenbacher-2026-building-custom-taxonomy-ai-skills/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Stephen Meisenbacher, Peter Norlander*2026*
6. **[Enhancing Lexical Relation Mining with Structured Sememe Knowledge](https://md.research.elamur.ai/free/en/papers/wang-2026-enhancing-lexical-relation-mining-structured/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hansi Wang, Qiliang Liang, Yue Wang, et al.*2026*

49 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/kozareva-2010-semi-supervised-method-learn-construct/) — A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web